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Evaluation of Measurement Uncertainty of Fabric Surface Resistance Implied by the Van der Pauw Equation

机译:Van der Pauw方程所隐含的织物表面电阻的测量不确定度的评估

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摘要

This paper presents a method for evaluating measurement uncertainty in the situation when the function of the measurement model occurring in an implicit mathematical form. The Van der Pauw equation used for determining the surface resistance of an electroconductive specimen was selected as a sample measurement model. With the use of the Mathematica program, it is possible to quickly determine the value of the specimen resistance. The evaluation of the uncertainty of measurement result of the surface resistance that is implied by the Van der Pauw equation is more complicated. The Monte Carlo method was applied to evaluate the uncertainty. The Monte Carlo method, including the iterative Newton algorithm, was described and realized with the use of the STATISTICA program. The effectiveness of the selected methods and developed tools was confirmed by the studies and analysis of the result of the surface resistance measurement of a specially selected woven fabric. In particular, a criterion was developed, making it possible to decide whether the electroconductive properties of the woven fabric specimen can be evaluated with the Van der Pauw method. It was shown that the selected electroconductive fabric had all characteristics typical for a Van der Pauw structure.
机译:当测量模型的功能以隐式数学形式出现时,本文提出了一种在这种情况下评估测量不确定性的方法。选择用于确定导电样品的表面电阻的Van der Pauw方程作为样品测量模型。通过使用Mathematica程序,可以快速确定样品电阻值。 Van der Pauw方程所隐含的对表面电阻测量结果的不确定性的评估更加复杂。蒙特卡罗方法用于评估不确定性。描述并使用STATISTICA程序实现了包括迭代牛顿算法在内的蒙特卡罗方法。通过对特殊选择的机织织物的表面电阻测量结果的研究和分析,证实了所选方法和开发工具的有效性。特别地,开发了一种标准,使得可以决定是否可以通过范德堡方法评估机织物样品的导电性能。结果表明,所选择的导电织物具有范德堡结构典型的所有特征。

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